Barriers and facilitators to pediatric telehealth use in English- and Spanish-speaking families: A qualitative study

BACKGROUND

With the rapid increase in telehealth use during the COVID-19 pandemic, concerns have been raised about the potential for exacerbating existing healthcare disparities in marginalized populations. While eliminating barriers such as transportation and time constraints, telehealth may introduce barriers related to technology access. With little known about the patient experience accessing telehealth during the COVID-19 pandemic, this study seeks to understand the barriers and facilitators to telehealth use as well as interventions that may address them.

METHODS

We conducted qualitative interviews with parents of pediatric patients of a primary care clinic in a diverse community during the study period of March-May 2021. The interviews explored barriers and facilitators to telehealth during the COVID-19 pandemic. Interviews were balanced across language (Spanish and English) as well as across visit type (in-person vs. telehealth). Recruitment, collection of demographic information, and interviews were conducted by telephone. The conversations were recorded and transcribed. Once thematic saturation was achieved, the data were analyzed using a modified grounded theory approach.

RESULTS

Of the 33 participants, 17 (52%) spoke English and 16 (48%) spoke Spanish. A total of 17 (52%) had experienced a telehealth encounter as their first visit during the study period while 16 (48%) had an in-person visit. Five themes were identified: (1) a recognition of differences in technological knowledge and access, (2) situational preferences for telehealth versus in-person visits, (3) avoidance of COVID-19 exposure, (4) convenience, and (5) change over time. English-speaking patients expressed greater ease with and a preference for telehealth, while Spanish-speaking participants expressed more technological difficulty with telehealth and a preference for in-person visits. Suggested interventions included informational tutorials such as videos before the visit, technical support, and providing families with technological devices.

CONCLUSION

In this study, we examined patient and family perspectives on pediatric telehealth during the COVID-19 pandemic. Implementation of the suggested interventions to address barriers to telehealth use is essential to prevent further exacerbation of health disparities already experienced by marginalized populations.

The Association of Demographic, Socioeconomic, and Geographic Factors with Potentially Preventable Emergency Department Utilization

Introduction

Prevention quality indicators (PQI) are a set of measures used to characterize healthcare utilization for conditions identified as being potentially preventable with high quality ambulatory care. These indicators have recently been adapted for emergency department (ED) patient presentations. In this study the authors sought to identify opportunities to potentially prevent emergency conditions and to strengthen systems of ambulatory care by analyzing patterns of ED utilization for PQI conditions.

Methods

Using multivariable logistic regression, the authors analyzed the relationship of patient demographics and neighborhood-level socioeconomic indicators with ED utilization for PQI conditions based on ED visits at an urban, academic medical center in 2017. We also used multilevel modeling to assess the contribution of these variables to neighborhood-level variation in the likelihood of an ED visit for a PQI condition.

Results

Of the included 98,522 visits, 17.5% were categorized as potentially preventable based on the ED PQI definition. On multivariate analysis, age < 18 years, Black race, and Medicare insurance had the strongest positive associations with PQI visits, with adjusted odds ratios (aOR) of 1.41 (95% confidence interval [CI], 1.29, 1.56), 1.40 (95% CI, 1.22, 1.61), and 1.40 (95% CI, 1.28, 1.54), respectively. All included neighborhood-level socioeconomic variables were significantly associated with PQI visit likelihood on univariable analysis; however; only level of education attainment and private car ownership remained significantly associated in the multivariable model, with aOR of 1.13 (95% CI, 1.10, 1.17) and 0.96 (95% CI, 0.93, 0.99) per quartile increase, respectively. This multilevel model demonstrated significant variation in PQI visit likelihood attributable to neighborhood, with interclass correlation decreasing from 5.92% (95% CI, 5.20, 6.73) in our unadjusted model to 4.12% (95% CI, 3.47, 4.87) in our fully adjusted model and median OR similarly decreasing from 1.54 to 1.43.

Conclusion

Demographic and local socioeconomic factors were significantly associated with ED utilization for PQI conditions. Future public health efforts can bolster efforts to target underlying social drivers of health and support access to primary care for patients who are Black, Latino, pediatric, or Medicare-dependent to potentially prevent emergency conditions (and the need for emergency care). Further research is needed to explore other factors beyond demographics and socioeconomic characteristics driving spatial variation in ED PQI visit likelihood.

Applying crisis standards of care to critically ill patients during the COVID-19 pandemic: Does race/ethnicity affect triage scoring?

OBJECTIVE

Given the variability in crisis standards of care (CSC) guidelines during the COVID-19 pandemic, we investigated the racial and ethnic differences in prioritization between 3 different CSC triage policies (New York, Massachusetts, USA), as well as a first come, first served (FCFS) approach, using a single patient population.

METHODS

We performed a retrospective cohort study of patients with intensive care unit (ICU) needs at a tertiary hospital on its peak COVID-19 ICU census day. We used medical record data to calculate a CSC score under 3 criteria: New York, Massachusetts with full comorbidity list (Massachusetts1), and MA with a modified comorbidity list (Massachusetts2). The CSC scores, as well as FCFS, determined which patients were eligible to receive critical care under 2 scarcity scenarios: 50 versus 100 ICU bed capacity. We assessed the association between race/ethnicity and eligibility for critical care with logistic regression.

RESULTS

Of 211 patients, 139 (66%) were male, 95 (45%) were Hispanic, 23 (11%) were non-Hispanic Black, and 69 (33%) were non-Hispanic White. Hispanic patients had the fewest comorbidities. Assuming a 50 ICU bed capacity, Hispanic patients had significantly higher odds of receiving critical care services across all CSC guidelines, except FCFS. However, assuming a 100 ICU bed capacity, Hispanic patients had greater odds of receiving critical care services under only the Massachusetts2 guidelines (odds ratio, 2.05; 95% CI, 1.09 to 3.85).

CONCLUSION

Varying CSC guidelines differentially affect racial and ethnic minority groups with regard to risk stratification. The equity implications of CSC guidelines require thorough investigation before CSC guidelines are implemented.

Geographically Indexed Referral Databases to Address Social Needs in the Emergency Department

Introduction

Unmet health-related social needs (HRSN) are among the drivers of disparities in morbidity and mortality during public health emergencies such as the novel coronavirus 2019 (Covid-19) pandemic. Although emergency departments (ED) see a high volume of patients with HRSN, ED providers have limited time to complete detailed assessments of patients’ HRSN and are not always able to provide up-to-date and comprehensive information to patients on available community resources. Electronic, geographically indexed resource database systems have the potential to provide an efficient way for emergency physicians to rapidly identify community resources in settings where immediate social work consultation is not accessible.

Methods

We conducted a systematic review of papers examining the use of geographically indexed resource database systems in healthcare to better understand how these services can be used in emergency care. We then conducted simulated, standardized searches using two nationally available databases (211 and Aunt Bertha), applied to a single metropolitan area (Boston).

Results

Our systematic review found that most public health and screening interventions using nationally available databases have focused on chronic care needs. A small subset of publications demonstrated that these databases were mobilized during disasters to successfully aid vulnerable populations during Hurricanes Katrina and Rita. A total of 408 standardized searches were conducted to identify community resources related to four domains of social needs (food, transportation, housing, and utilities). Although 99% of the resources identified by both databases were relevant to the search domains queried, a significant proportion of the resources identified by each database were restricted to a specific demographic (eg, veterans).

Conclusion

Our findings demonstrate that geographically indexed referral databases may be an effective tool to help ED providers connect patients to nearby community resources during public health emergencies. We recommend that EDs select a referral database based on the greatest number of resources that are not demographically restricted.

Prevalence of Emergency Department Social Risk and Social Needs

Introduction

Social risks, or adverse social conditions associated with poor health, are prevalent in emergency department (ED) patients, but little is known about how the prevalence of social risk compares to a patient’s reported social need, which incorporates patient preference for intervention. The goal of this study was to describe the relationship between social risk and social need, and identify factors associated with differential responses to social risk and social need questions.

Methods

We conducted a cross-sectional study with 48 hours of time-shift sampling in a large urban ED. Consenting patients completed a demographic questionnaire and assessments of social risk and social need. We applied descriptive statistics to the prevalence of social risk and social need, and multivariable logistic regression to assess factors associated with social risk, social need, or both.

Results

Of the 269 participants, 100 (37%) reported social risk, 83 (31%) reported social need, and 169 (63%) reported neither social risk nor social need. Although social risk and social need were significantly associated (p < 0.01), they incompletely overlapped. Over 50% in each category screened positive in more than one domain (eg, housing instability, food insecurity). In multivariable models, those with higher education (adjusted odds ratio [aOR] 0.44 [95% confidence interval {CI}, 0.24–0.80]) and private insurance (aOR 0.50 [95% CI, 0.29–0.88]) were less likely to report social risk compared to those with lower education and state/public insurance, respectively. Spanish-speakers (aOR 4.07 [95% CI, 1.17–14.10]) and non-Hispanic Black patients (aOR 5.00 [95% CI, 1.91–13.12]) were more likely to report social need, while those with private insurance were less likely to report social need (private vs state/public: aOR 0.13 [95% CI, 0.07–0.26]).

Conclusion

Approximately one-third of patients in a large, urban ED screened positive for at least one social risk or social need, with over half in each category reporting risk/need across multiple domains. Different demographic variables were associated with social risk vs social need, suggesting that individuals with social risks differ from those with social needs, and that screening programs should consider including both assessments.

Improving Understanding of Screening Questions for Social Risk and Social Need Among Emergency Department Patients

Introduction

With recent healthcare policy changes, including the creation of accountable care organizations, screening for social risks such as food and housing insecurity has become increasingly common in the healthcare system. However, the wide variety of different tools used for screening makes it challenging to compare across systems. In addition, the majority of tools used to measure social risks have only been tested in primary care settings and may not be optimal for emergency department (ED) use. Therefore, the goal of this study was to create a brief social screening tool for use in EDs.

Methods

We developed an initial tool using publicly available questions corresponding to the five core categories of the Centers for Medicare & Medicaid Services’ Accountable Health Communities Screening Tool. Iterative cycles of cognitive interviews with purposively sampled participants were performed using a hybrid model of think-aloud and verbal probing to understand/experience answering questions and potential comprehension challenges. After thematic saturation was reached in one cycle, the tool was changed per participant input; cycles were completed until thematic saturation was reached overall.

Results

A total of 16 participants (six patient guardians and 10 patients) completed cognitive interviews throughout three cycles. Participant feedback included suggestions for further clarification and simplification of survey questions for improved comprehension. The survey was thus reduced and simplified from 16 questions concerning five domains to 10 questions concerning four domains.

Conclusion

We used an iterative cognitive interviewing process to develop a social screening tool for use in EDs. This process demonstrates the importance of patient input to refine questionnaires, and provides a brief screening tool for ED use.